ploomber / soorgeonLinks
Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. π
β79Updated last year
Alternatives and similar repositories for soorgeon
Users that are interested in soorgeon are comparing it to the libraries listed below
Sorting:
- βοΈ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.β45Updated 10 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ107Updated 2 years ago
- Automated Jupyter notebook testing. πβ40Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.β106Updated last week
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β81Updated 3 years ago
- β31Updated 2 years ago
- Comparing Polars to Pandas and a small introductionβ44Updated 4 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withouβ¦β114Updated 2 months ago
- End-to-end deep learning on your desktop or server.β105Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API πβ52Updated 4 years ago
- Woodwork is a Python library that provides robust methods for managing and communicating data typing information.β155Updated 4 months ago
- Metadata store for Production MLβ88Updated 3 years ago
- Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.β81Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAMβ86Updated 2 years ago
- Pipeline components that support partial_fit.β46Updated last year
- real-time data + ML pipelineβ53Updated last week
- Toolkit for developing and maintaining ML modelsβ152Updated last year
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Sparkβ74Updated 2 years ago
- Generate beautiful, testable documentation with Jupyter Notebooksβ21Updated 3 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard includedβ28Updated 4 years ago
- A software engineering framework to jump start your machine learning projectsβ37Updated last week
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 4 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stanβ¦β53Updated 2 years ago
- Sample projects using Ploomber.β86Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ57Updated 7 months ago
- Unified Distributed Executionβ57Updated last year
- PyCon Talks 2022 by Antoine Toubhansβ23Updated 3 years ago
- manipulate pandas dataframes from the comfort of your browserβ174Updated 4 years ago
- JupyterLab extension to create GitHub commits & pull requestsβ119Updated last year
- python library for automated dataset normalizationβ117Updated 2 years ago